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Model de bioacumulació×Anàlisi de la topologia de xarxes tròfiques×
CampEcologiaEcologia
FamíliaProcess / pipelineProcess / pipeline
Any d'origen20062000
Autor originalFrank GobasRichard Williams and Neo Martinez
Tipuspollutant accumulation dynamicsecological network characterization
Font seminalArnot, J. A., & Gobas, F. A. (2006). A review of bioaccumulation factor (BAF) and bioconcentration factor (BCF) assessments for organic chemicals in aquatic organisms. Environmental Reviews, 14(4), 257-297. DOI ↗Dunne, J. A., Williams, R. J., & Martinez, N. D. (2002). Network structure and robustness of marine food webs. The American Naturalist, 160(1), 117-129. link ↗
Àliesaccumulation model, toxicokinetics, persistent organic pollutants, POPsfood web structure, network topology, trophic network, food chain analysis
Relacionats44
ResumBioaccumulation models predict how chemical contaminants accumulate in organisms from environmental exposure (water, food, sediment). Developed by Gobas and colleagues (2006), these models quantify the kinetics of chemical uptake, metabolism, and clearance. Bioaccumulation factors (BAF) and bioconcentration factors (BCF) measure the ratio of chemical concentration in organisms to concentration in the environment. Understanding bioaccumulation is critical for assessing ecological risk from persistent organic pollutants (POPs), heavy metals, and other contaminants.Food web topology analysis characterizes the structure of predator-prey interactions within ecological communities using network metrics. Pioneered by Williams and Martinez (2000) and extended by Dunne and colleagues (2002), this approach maps which species eat which and quantifies network properties (connectivity, clustering, robustness). Understanding food web structure reveals how ecosystems are organized, how stable they are to species loss, and what roles different species play in ecosystem function.
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ScholarGateCompara mètodes: Bioaccumulation Model · Food Web Topology. Recuperat el 2026-06-19 de https://scholargate.app/ca/compare